def prepare_for_estimate_alt(self, agent_set, add_member_prefix=True, specification_dict=None, specification_storage=None,
specification_table=None, events_for_estimation_storage=None,
events_for_estimation_table=None, urbansim_constant=None, base_year=0,
building_categories=None,
location_id_variable=None, dataset_pool=None, **kwargs):
"""Remove new buildings of this type and add new projects from event history instead."""
type = self.group_member.get_member_name()
agent_set.resources["building_categories"] = building_categories
agent_set.compute_variables(["urbansim.%s.building_age" % agent_set.get_dataset_name(),
"urbansim.%s.is_building_type_%s" % (agent_set.get_dataset_name(),
type)], dataset_pool = dataset_pool)
idx_new_buildings = where(logical_and(where(ma.filled(agent_set.get_attribute("building_age"),
urbansim_constant['recent_years'] + 1) <= urbansim_constant['recent_years'], 1, 0),
agent_set.get_attribute("is_building_type_%s" % type)))[0]
# create agents for estimation
if events_for_estimation_storage is not None:
agent_set.remove_elements(idx_new_buildings)
event_set = DevelopmentEventDataset(urbansim_constant,
in_storage = events_for_estimation_storage,
in_table_name= events_for_estimation_table)
event_set.remove_non_recent_data(base_year, urbansim_constant['recent_years'])
BuildingCreator().add_events_from_history_to_existing_buildings(agent_set,
event_set, type,
self.group_member.get_member_code(),
self.units, building_categories, dataset_pool=dataset_pool)
if location_id_variable:
agent_set.compute_variables(location_id_variable, dataset_pool=dataset_pool)
if events_for_estimation_storage is None:
agent_set.compute_variables(["urbansim.%s.size_category_%s" % (agent_set.get_dataset_name(),
self.group_member.get_member_name()),
"urbansim.%s.building_age" % agent_set.get_dataset_name()],
dataset_pool = dataset_pool)
idx_new_buildings = where(ma.filled(agent_set.get_attribute("building_age"),
urbansim_constant['recent_years']+1) <= urbansim_constant['recent_years'])[0]
if (specification_dict is not None) or (specification_storage is not None):
specification, dummy = AgentLocationChoiceModelMember.prepare_for_estimate(self, add_member_prefix,
specification_dict, specification_storage,
specification_table,
location_id_variable=location_id_variable,
data_objects=dataset_pool.datasets_in_pool(), **kwargs)
else:
specification = None
return (specification, idx_new_buildings)
def prepare_for_estimate(self,
agent_set,
add_member_prefix=True,
specification_dict=None,
specification_storage=None,
specification_table=None,
urbansim_constant=None,
building_categories=None,
location_id_variable=None,
dataset_pool=None,
**kwargs):
"""Return index of buildings that are younger than 'recent_years'+2"""
type = self.group_member.get_member_name()
if location_id_variable:
agent_set.compute_variables(location_id_variable,
dataset_pool=dataset_pool)
agent_set.resources["building_categories"] = building_categories
agent_set.compute_variables("urbansim.%s.size_category_%s" %
(agent_set.get_dataset_name(),
self.group_member.get_member_name()),
dataset_pool=dataset_pool)
agent_set.compute_variables([
"urbansim.%s.building_age" % agent_set.get_dataset_name(),
"urbansim.%s.is_building_type_%s" %
(agent_set.get_dataset_name(), type)
],
dataset_pool=dataset_pool)
index = where(
logical_and(
ma.filled(agent_set.get_attribute("building_age"),
urbansim_constant['recent_years'] + 2) <=
urbansim_constant['recent_years'] + 1,
agent_set.get_attribute("is_building_type_%s" % type)))[0]
specification, dummy = AgentLocationChoiceModelMember.prepare_for_estimate(
self,
add_member_prefix,
specification_dict,
specification_storage,
specification_table,
location_id_variable=location_id_variable,
data_objects=dataset_pool.datasets_in_pool(),
**kwargs)
return (specification, index)
def prepare_for_estimate(self, agent_set, add_member_prefix=True, specification_dict=None, specification_storage=None,
specification_table=None, urbansim_constant=None, building_categories=None,
location_id_variable=None, dataset_pool=None, **kwargs):
"""Return index of buildings that are younger than 'recent_years'+2"""
type = self.group_member.get_member_name()
if location_id_variable:
agent_set.compute_variables(location_id_variable, dataset_pool=dataset_pool)
agent_set.resources["building_categories"] = building_categories
agent_set.compute_variables("urbansim.%s.size_category_%s" % (agent_set.get_dataset_name(), self.group_member.get_member_name()),
dataset_pool=dataset_pool)
agent_set.compute_variables(["urbansim.%s.building_age" % agent_set.get_dataset_name(),
"urbansim.%s.is_building_type_%s" % (agent_set.get_dataset_name(),
type)], dataset_pool=dataset_pool)
index = where(logical_and(ma.filled(agent_set.get_attribute("building_age"),
urbansim_constant['recent_years']+2) <= urbansim_constant['recent_years']+1,
agent_set.get_attribute("is_building_type_%s" % type)))[0]
specification, dummy = AgentLocationChoiceModelMember.prepare_for_estimate(self, add_member_prefix,
specification_dict, specification_storage,
specification_table,
location_id_variable=location_id_variable,
data_objects=dataset_pool.datasets_in_pool(),
**kwargs)
return (specification, index)
def prepare_for_estimate_alt(self,
agent_set,
add_member_prefix=True,
specification_dict=None,
specification_storage=None,
specification_table=None,
events_for_estimation_storage=None,
events_for_estimation_table=None,
urbansim_constant=None,
base_year=0,
building_categories=None,
location_id_variable=None,
dataset_pool=None,
**kwargs):
"""Remove new buildings of this type and add new projects from event history instead."""
type = self.group_member.get_member_name()
agent_set.resources["building_categories"] = building_categories
agent_set.compute_variables([
"urbansim.%s.building_age" % agent_set.get_dataset_name(),
"urbansim.%s.is_building_type_%s" %
(agent_set.get_dataset_name(), type)
],
dataset_pool=dataset_pool)
idx_new_buildings = where(
logical_and(
where(
ma.filled(agent_set.get_attribute("building_age"),
urbansim_constant['recent_years'] + 1) <=
urbansim_constant['recent_years'], 1, 0),
agent_set.get_attribute("is_building_type_%s" % type)))[0]
# create agents for estimation
if events_for_estimation_storage is not None:
agent_set.remove_elements(idx_new_buildings)
event_set = DevelopmentEventDataset(
urbansim_constant,
in_storage=events_for_estimation_storage,
in_table_name=events_for_estimation_table)
event_set.remove_non_recent_data(base_year,
urbansim_constant['recent_years'])
BuildingCreator().add_events_from_history_to_existing_buildings(
agent_set,
event_set,
type,
self.group_member.get_member_code(),
self.units,
building_categories,
dataset_pool=dataset_pool)
if location_id_variable:
agent_set.compute_variables(location_id_variable,
dataset_pool=dataset_pool)
if events_for_estimation_storage is None:
agent_set.compute_variables([
"urbansim.%s.size_category_%s" %
(agent_set.get_dataset_name(),
self.group_member.get_member_name()),
"urbansim.%s.building_age" % agent_set.get_dataset_name()
],
dataset_pool=dataset_pool)
idx_new_buildings = where(
ma.filled(agent_set.get_attribute(
"building_age"), urbansim_constant['recent_years'] +
1) <= urbansim_constant['recent_years'])[0]
if (specification_dict is not None) or (specification_storage
is not None):
specification, dummy = AgentLocationChoiceModelMember.prepare_for_estimate(
self,
add_member_prefix,
specification_dict,
specification_storage,
specification_table,
location_id_variable=location_id_variable,
data_objects=dataset_pool.datasets_in_pool(),
**kwargs)
else:
specification = None
return (specification, idx_new_buildings)
